Canadian AI strategy, public-service policy and privacy explained through primary documents and worked examples.
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Canadian AI sovereignty involves more than locating a data centre in Canada. Check five things for your workload: location, operational control, access, continuity and exit. The national strategy describes commitments; a supplier still needs to show which controls and capacity you can actually use.
A federal AI pilot needs a decision brief that names its task, data, accountable owner and stopping conditions. The 2025–2027 strategy supplies direction, not permission for a particular deployment. Start with a narrow use and evidence that would justify continuing it.
An AI privacy assessment should follow personal information through the whole system: prompts, retrieved documents, model responses, logs and vendor copies. Record why each copy exists, who can access it and when it is removed. A privacy setting on the chat screen does not answer all those questions.
Canada’s AI transparency consultation asks what people should be told about AI interactions, generated content and system activity; it does not establish final rules. A useful response names a specific failure and the information that would prevent it. The published submission deadline is September 23, 2026.